Research Data Leeds Repository

Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'

Asker, Matthew and Hernández-Navarro, Lluís and Mobilia, Mauro (2023) Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'. University of Leeds. [Dataset] https://doi.org/10.5518/1371

Dataset description

Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'. A full description of the data, methods, and interpretation may be found in the related publication. Computational data: raw results from stochastic simulations of our full model and of the effective Moran model at fixed total population.

Subjects:	G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics
Related resources:	Location Type https://doi.org/10.1088/1367-2630/ad0d36 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	14 Jul 2023 10:38
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1131
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Asker, Matthew https://orcid.org/0009-0003-5548-5535 University of Leeds https://ror.org/024mrxd33 ror Hernández-Navarro, Lluís https://orcid.org/0000-0002-7272-7597 University of Leeds https://ror.org/024mrxd33 ror Mobilia, Mauro https://orcid.org/0000-0002-1424-567X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/T517860/1, EP/V014439/1 Publication date: 2023 Resource language: English Publisher: University of Leeds Contact Email Address: mmmwa@leeds.ac.uk Last Modified: 05 Mar 2024 11:30

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Documentation

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Data

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